Senior Analyst at eClerx Career Site

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LangChain, LlamaIndex, AutoGen, CrewAI, LLM APIs, Vector Databases, Agent Orchestration, Prompt Engineering, Context Memory Management, AWS, GCP, Azure, Docker, Kubernetes, AI/ML

Industry

IT Services and IT Consulting

Description

About eClerx eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. Work Experience * Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. * 5+ years of experience in AI/ML or software development with hands-on exposure to LLMs. * Strong proficiency in Python and experience with AI frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI. * Experience working with LLM APIs (OpenAI, Anthropic, Google Gemini, etc.) and vector databases (Pinecone, Chroma, FAISS). * Knowledge of agent orchestration, prompt engineering, and context memory management. * Familiarity with cloud environments (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Responsibilities Design and Develop AI Agents: Build intelligent, autonomous agents leveraging LLMs, memory frameworks, and multi-agent coordination systems (e.g., LangChain, CrewAI, AutoGen). Integrate APIs and Tools: Connect agents with third-party APIs, knowledge bases, and internal systems to enable dynamic data access and real-time task execution. Optimize Agent Performance: Apply reinforcement learning, context management, and retrieval-augmented generation (RAG) techniques to enhance reasoning and accuracy. Develop End-to-End Pipelines: Create scalable, production-ready pipelines for AI agent deployment, monitoring, and continuous improvement. Collaborate with Cross-Functional Teams: Partner with product managers, ML engineers, and domain experts to translate business use cases into functional agentic systemsAbout eClerx Digital eClerx Digital is the trusted partner of choice to many of the world’s largest global brands for creative production, e-commerce/web operations, and analytics and insights services. We help clients maximize the results of their digital activities across the customer journey. Global industry leaders partner with us to cost-effectively scale their digital activities by leveraging our highly skilled blended resource model. To know more about us, visit https://eclerx.com [https://eclerx.com] eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

Responsibilities

The role involves designing and developing intelligent, autonomous AI agents using LLMs, memory frameworks, and multi-agent coordination systems, while also integrating these agents with external APIs and knowledge bases for dynamic task execution. Responsibilities include optimizing agent performance using RAG and context management techniques, and creating scalable pipelines for production deployment and continuous improvement.