Alternative Path Private Limited

Role Description We are looking for a passionate and proactive Quality Assurance Engineer to join our team. The ideal candidate should have strong functional testing skills along with hands-on experience in test automation using Playwright. In addition, the candidate should be comfortable leveraging AI tools to improve testing efficiency, automate repetitive tasks, and enhance overall productivity. This role offers an opportunity to work on modern web applications in an Agile environment while adopting AI-driven Quality Engineering practices. - Understand business requirements, user stories, and acceptance criteria to create effective test scenarios. - Design, execute, and maintain functional, regression, integration, and end-to-end test cases. - Identify, log, track, and verify software defects throughout the development lifecycle. - Develop and maintain UI automation scripts using Playwright. - Execute automated regression suites and analyze test results. - Collaborate closely with Developers, Product Owners, and Business Analysts throughout the Agile development lifecycle. - Participate in sprint planning, backlog refinement, and release validation activities. - Ensure high-quality software deliveries through thorough validation and continuous improvement. Qualifications - 1.5–3.5 years of experience in Software Quality Assurance. - Strong understanding of Software Testing Life Cycle (STLC) and Software Development Life Cycle (SDLC). - Hands-on experience in Functional, Regression, Integration, and System Testing. - Hands-on experience with Playwright automation. - Good understanding of web technologies and browser debugging tools. - Experience in defect management tools such as Jira. - Familiarity with Git and version control. - Good understanding of Agile/Scrum methodologies. Requirements - Hands-on experience with AI tools such as Claude, ChatGPT, GitHub Copilot, or similar AI assistants is highly desirable. - Demonstrate practical experience in integrating AI into daily testing workflows. Benefits

Role Description This is a remote position. Alternative Path is seeking a skilled Business Analyst – Web Scraping to work on client projects with a major US-based hedge fund recognized for its data-first investment approach. This is a high-impact role where you will bridge clients, internal stakeholders, and development teams to deliver high-quality proprietary datasets that directly support investment decisions. You will own the request process end-to-end — from understanding requirements and shaping solutions, to validating deliverables and enhancing data products. This role combines client interaction, technical data validation, and process innovation, offering visibility across multiple business functions. If you have a passion for data quality, strong analytical skills, and an understanding of investment data use cases, this role offers a unique opportunity to contribute, take ownership, and make your voice heard. Timings: US / Rotational Shift Location: Remote Key Responsibilities - Own the Request Process - Engage with end users and investment teams to gather, clarify, and document web scraping requirements. - Translate business needs into actionable technical specifications for engineers. - Develop clear execution plans for developers to deliver optimal results. - Review and approve scraped datasets before client delivery. - Enhance Deliverables - Use SQL and reporting tools to generate custom datasets, reports, and enriched data products. - Create and execute quality control (QC) checks to ensure data accuracy, completeness, and compliance. - Improve KPIs & QA Methods - Develop new KPIs and QA processes to measure and improve scraping performance. - Contribute to building tools, scripts, and workflows for higher efficiency. - Document processes and create reusable resources for requirement gathering, validation, and delivery. - Cross-Functional Collaboration - Partner with developers to troubleshoot and resolve data quality issues. - Provide feedback to refine scraping strategies, formats, and delivery methods. Qualifications - 3+ years of experience as an investment data/business analyst with experience in SQL and data analysis. - Strong verbal and written communication skills. - Experience with Python. - Hands-on experience with web scraping. - Advanced SQL skills (MySQL, PostgreSQL). - Strong analytical mindset and passion for data. - Knowledge of project management tools is highly desirable. - Self-starter attitude with the ability to own outcomes end-to-end in distributed, fast-paced environments. - The ability to effectively work as an individual contributor and possess strong analytical, problem-solving, critical thinking, and decision-making skills, multitasking, and deliver under tight deadlines. - Excellent interpersonal and communication skills in verbal and written English is a must. - A desire to work in an international team environment, often under pressure and with multiple stakeholders. Benefits - Medical Insurance - Group Accidental Insurance - Internet & Mobile Bill Reimbursements

Role Description Alternative Path is seeking a detail-oriented and experienced Fund Accounting Lead Consultant to assist one of its clients. This position requires a strong understanding of accounting principles, excellent analytical skills, and the ability to work collaboratively with our client’s internal and partner teams. This is an opportunity to join a team-first meritocracy and help grow an entrepreneurial group inside Alternative Path. You will be asked to contribute, given ownership and will be expected to make your voice heard. Location: Remote Key Responsibilities: - Reconcile trial balances, general ledger, and partner allocation accounts - Review waterfall calculations and ensure accuracy - Perform bank account statement reconciliation and resolve discrepancies - Review financial statements and workpapers produced by third-party administrator - Verify partner account statements and resolve any discrepancies - Work collaboratively with various teams to ensure accurate and timely reporting - Assist with year-end audit and tax preparation - Develop and maintain strong relationships with clients, partners, and vendors - Ensure compliance with regulatory requirements and internal policies and procedures Qualifications - Graduate/Postgraduate with good knowledge of accounting and finance - Minimum of 8 - 10 years of relevant experience in Private Equity fund accounting - Strong understanding of accounting principles - Experience working on fund accounting platforms - Proficient in Microsoft Excel, with experience in financial reporting systems - Experience building and working with large data files and some experience of building macros in MS Excel - Detail oriented with fast and exact data collection and validation skills - Strong analytical, problem solving, critical thinking and decision-making skills - Ability to multitask and deliver under tight deadlines - Self-starter that thrives on complexity and solution finding - Excellent interpersonal and communication skills in verbal and written English - Demonstrated ability to write effectively and summarize large amounts of information succinctly and quickly - Desire to work in an international team environment, often under pressure and with multiple stakeholders - Must operate with the highest level of integrity

Role Description This is a remote position. We're building agentic AI systems that autonomously reason, plan, and act across complex workflows. You'll be a core contributor designing and shipping production-grade AI agents, integrating with LLM providers, orchestrating multi-step workflows, and building the infrastructure that makes agents reliable, observable, and scalable. This is a deeply technical role — you'll work at the intersection of LLM engineering, backend systems, and agent architecture. Qualifications - Deep experience with at least one major LLM provider SDK (Anthropic, OpenAI, Gemini) - Prompt engineering depth: few-shot design, chain-of-thought, structured outputs, tool/function calling, multi-turn context management, prompt caching, token budgeting - Built real production agents — not just chatbots; systems that take actions, use tools, and operate autonomously - Understands agent patterns: ReAct, plan-and-execute, multi-agent orchestration, reflection loops, supervisor/worker hierarchies - Familiar with MCP (Model Context Protocol), A2A, and agent frameworks (LangGraph, CrewAI, AutoGen) — and when NOT to use them - Knows how to handle non-determinism: retry strategies, output validation, graceful degradation Requirements - Design and build AI agents — autonomous systems that use tools, browse the web, call APIs, manage memory, and complete multi-step tasks with minimal human intervention - Architect agentic workflows — orchestrate multi-agent pipelines (planner → executor → verifier patterns), handle tool-use loops, HITL checkpoints, retries, and failure recovery - Integrate LLM providers — work with Anthropic Claude, OpenAI, Gemini; implement prompt caching, structured outputs, and context management at scale; select the right model for the right task - Build knowledge pipelines — design RAG systems, hybrid retrieval, vector stores, embedding pipelines, and memory layers that give agents contextual awareness - Own backend reliability — REST/GraphQL APIs, async job queues, observability, latency optimization, cost tracking for token usage - Drive system design decisions — lead architecture discussions, define component boundaries, evaluate build vs. buy tradeoffs, and document decisions (ADRs, diagrams) - Maintain CI/CD pipelines — keep deployments fast, safe, and automated across dev/staging/prod environments - Evaluate agent behavior — build LLM tracing, regression frameworks, and evals pipelines to detect behavioral drift, intent failures, and quality degradation across model updates - Stay ahead of the curve — evaluate emerging standards (MCP, A2A, reasoning models, new frameworks) and make adoption recommendations Benefits - You'll work on AI problems that are genuinely unsolved — not CRUD apps with an LLM wrapper - Greenfield architecture decisions — your opinions shape the system - Direct impact on product; small team, high ownership - Exposure to the full agentic stack from infra to eval to UX Company Description General company description goes here.

Role Description This is a remote position. Alternative Path is seeking a skilled Data Engineer to collaborate on client projects with an asset management firm. In this role, you will: - Collaborate with individuals across various company departments to shape and innovate new products and features for our platform. - Enhance existing products and features. - Work with a large degree of independence and trust, supported by the Engineering team leads, Product team leads, and other technology team members. - Contribute to a team-first meritocracy and help grow an entrepreneurial group inside Alternative Path. - Be expected to make your voice heard and take ownership of your contributions. Role Summary: - Design and implement a Python-based tool to automate the configuration and definition of quality control checks for vendor data sets. - Leverage LLM and data set documentation to understand critical fields and use machine learning algorithms to define a threshold for quality checks. - Configure checks in a proprietary data quality engine. - Set up new data feeds and review and adjust thresholds for existing checks on a periodic basis. - Work closely with Data Managers and Software Engineers to understand data sets and their existing checks. - Develop techniques to improve the coverage of checks across our platform. Qualifications - Must have a Bachelor’s or Master’s degree in computer science or engineering. - 3-5 years of experience in Data Engineering. - Strong experience building enterprise solutions in Python. - Experience with Pandas and data science transformation logic. - Exposure to SQL. - Preferred AWS experience including Kubernetes. - Preferred S3 experience. - Preferred Trino experience. Requirements - Self-motivated and self-sufficient. - Passion for tinkering and a love for automation. - Collaborate with other software engineers to understand and resolve requirements. - Design and implement a data quality automation tool using LLMs and machine learning algorithms. - Develop dashboards for data quality coverage and compliance. Company Description