Senior Applied AI Engineer
Location
India
Posted
1 day ago
Salary
0
Seniority
Senior
Job Description
Senior Applied AI Engineer
phData
• Build and operationalize end-to-end agentic AI solutions, like RAG pipelines, multi-agent workflows, and human-in-the-loop steps, for enterprise clients • Translate solution designs and business requirements into clean, well-tested production-grade code aligned with phData methodologies, standards, and best practices. • Build production-grade agents emphasizing reliability, scalability, security, observability, and evaluation and guardrail strategies for safe, accurate performance before and after deployment. • Ensure engagements are delivered on time, within scope, and with measurable business value for clients. • Contribute hands-on to reusable agentic accelerators and reference implementations aligned with the Intelligence Platform that can be deployed across multiple clients. • Help establish engineering patterns, tooling, and ways of working as part of the zero-to-one buildout of the India delivery center. • Collaborate with cross-functional partners, including forward-deployed engineers, data engineers, platform/DevOps engineers, and business stakeholders to deliver successful client engagements. • Ensure high-quality deliverables through code reviews, technical documentation, automated testing, and adherence to security and governance standards. • Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery patterns, and standardize AI deployment approaches. • Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training for colleagues on best practices for AI engineering. • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.
Job Requirements
- 4+ years of experience in AI/ML engineering, software engineering, or data engineering roles building and deploying AI/ML solutions to production.
- Recent hands-on experience with LLM-powered or agentic applications
- Hands-on understanding of Large Language Models, agentic architectures, and retrieval frameworks (RAG), including prompt design, context engineering, and tool/function calling
- Experience with LLM orchestration frameworks (e.g. LangChain, LlamaIndex) and the broader agentic stack, such as multi-agent patterns, memory, planning, and protocols (e.g. MCP)
- Experience designing evaluation, guardrail, and observability strategics for LLM and agent systems (LLMOps/AgentOps)
- Hands-on experience in modern programming languages, such as Python, including developing APIs
- Deep expertise in cloud-native AI/ML platforms (e.g. AWS Bedrock and SageMaker, Azure AI/ML, Snowflake Cortex) with proven experience deploying solutions into production
- Complete software development lifecycle experience including design, documentation, implementation, testing, deployment, and ongoing operations
- Demonstrated use of AI-assisted development tooling to accelerate delivery while maintaining quality
- Strong working knowledge of SQL, including writing, debugging, and optimizing complex and distributed queries.
- Experience delivering projects for external or internal clients in a professional services, product, or consulting environment.
- Ability to break down complex problems into structured, actionable steps and drive them through to completion, ideally in a fixed-bid capacity.
- Strong written and verbal communication skills in English, including the ability to explain technical concepts to both technical and non-technical audiences.
- Proven experience presenting solutions and working directly with internal and/or external clients.
- Demonstrated ability to work effectively with distributed and cross-functional teams across the US, LATAM, and India.
- Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision.
- Comfort working in client environments, quickly understanding new systems, and adapting solutions to fit existing architectures and processes.
- Bachelor’s degree in Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience preferred
Benefits
- Remote-First Workplace
- Medical Insurance for Self & Family
- Medical Insurance for Parents
- Term Life & Personal Accident
- Wellness Allowance
- Broadband Reimbursement
- Continuous learning and growth opportunities to enhance your skills and expertise
- Other benefits include paid certifications, professional development allowance, and bonuses for creating for company-approved content
Related Guides
Related Job Pages
More AI Engineer Jobs
Sr Software Engineer with AI focus
DynatraceDynatrace is a global application performance management software firm and a former member of Compuware. As an employer, the company is in support of helping it
Your role at DynatraceWe’re seeking a highly skilled Senior Software Engineer to play a critical role in designing and delivering -the next-generation observability platform. You will take ownership of complex, high-impact projects, collaborating with Product, Engineering, and cross-functional teams to ensure robust, scalable, and high-performance solutions. Beyond coding, you will mentor junior engineers, influence architectural decisions, and drive technical excellence across the organization - Architect & Build: Design, develop, and maintain highly scalable and reliable software systems that power our core platform. - Collaborate & Deliver: Partner closely with Product and Engineering teams to translate business needs into innovative, user-centric features. - Champion Quality: Write clean, well-tested code and elevate the team's engineering standards through rigorous, constructive code reviews. - Solve Complex Problems: Dive deep to investigate and debug distributed systems, focusing on permanent root-cause solutions rather than quick fixes. - Tackle Technical Debt: Proactively identify structural bottlenecks and drive improvements to ensure long-term system stability and performance. - Mentor & Empower: Guide junior and mid-level engineers, fostering a collaborative culture of continuous learning, accountability, and teamwork. - Drive Innovation: Stay ahead of industry trends to continuously optimize our system architecture, developer workflows, and overall product reliability. What will help you succeed - 5+ years of experience in software engineering or related roles - Strong proficiency in programming languages relevant to the platform, like GoLang ,TypeScript and React - Experience with Kubernetes, observability tools, distributed systems, and OpenTelemetry - Hands-on experience with AI development and tooling (e.g., integrating AI APIs) beyond basic prompting. - Strong problem-solving, analytical, and debugging skills - Excellent communication and collaboration skills Why you will love being a Dynatracer - Dynatrace is a leader in unified observability and security. - We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. - Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. - You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically - Over 50% of the Fortune 100 companies are current customers of Dynatrace. Compensation and Rewards - Salary 127K$ - 191K$. Total compensation may vary depending on candidate experience/education and location. - Our compensation package includes medical/dental/life benefits, STD, LTD, unlimited PTO, company matching 401k plan for retirement, employee stock purchase plan, and a reward system. Equal Employment OpportunityDynatrace provides equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic. We actively foster an inclusive workplace that celebrates differences and promotes accessibility, collaboration, and growth for all.
Forward Deployed AI Engineer
NewRocketWe deliver meaningful experiences and extraordinary results with ServiceNow
• Deploy and configure agentic AI workflows and AI-powered automations within client ServiceNow environments. • Translate customer business requirements into technical architectures and implementation plans. • Implement and integrate NewRocket Agent Packs and AI solutions into enterprise environments. • Work directly with customers to tailor AI solutions to their operational workflows and business processes. • Build demos, prototypes, and proof-of-concept implementations to validate AI-driven workflows with clients. • Rapidly iterate solutions with customers to refine AI-powered use cases. • Support implementation of AI orchestration, LLM integrations, and agentic decision models. • Develop integrations between ServiceNow, enterprise systems, APIs, and AI services. • Build supporting components such as scripts, microservices, automation logic, and integration services. • Implement integrations with AI platforms, APIs, and enterprise data sources. • Actively contribute to the development and evolution of NewRocket’s AI intellectual property and platforms.
Lead Software Engineer, Full Stack, AI
Smart WorkingEmpowering companies to work with the best engineers in the world
• Lead a cross-functional engineering team, driving technical direction, delivery quality, and platform evolution. • Take ownership of the design, development, deployment, and maintenance of full-stack applications and services. • Work closely with Product teams to shape requirements, influence the roadmap, and align technical solutions with business objectives. • Evaluate, prototype, and implement AI-powered capabilities, including LLM-based features, intelligent automation, and AI-enhanced workflows. • Provide technical leadership through architecture reviews, code reviews, and engineering best practices. • Design and build scalable, secure, resilient, and observable cloud-based solutions. • Champion automated testing, quality assurance, and engineering standards across the development lifecycle. • Build, maintain, and improve CI/CD pipelines to support reliable and efficient software delivery. • Communicate technical designs, risks, and progress effectively to both technical and non-technical stakeholders. • Mentor and support engineers, helping to develop technical capability across the team. • Promote a culture of collaboration, continuous improvement, and engineering excellence. • Support recruitment, onboarding, and development of engineering talent. • Maintain clear technical documentation to support knowledge sharing and long-term maintainability.
AI Forward Deployed Engineer
ZensarAt Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
Role Description The AI Forward Deployed Engineer works at the intersection of AI, engineering, and business, partnering closely with stakeholders to identify use cases, build prototypes, and deliver production-grade AI solutions. This role requires hands-on experience with: - LLMs - Cloud platforms - APIs - Enterprise system integration Additionally, strong problem-solving and communication skills are essential. Qualifications - Hands-on experience with AI technologies - Experience in engineering and business collaboration - Strong problem-solving skills - Excellent communication skills Requirements - Experience with LLMs - Familiarity with cloud platforms - Knowledge of APIs - Experience in enterprise system integration Benefits - Inclusive workplace culture - Opportunities for growth and development - Commitment to well-being
