Role description
Job Title: Specialist - Product Engineering
Location: Pune
Experience: 5-8 years
We are seeking a highly skilled Specialist - Product Engineering to join our innovative team in Pune. This role focuses on the design, development, and deployment of cutting-edge Generative AI solutions, particularly those leveraging Large Language Models (LLMs) to drive product innovation. The ideal candidate will possess deep expertise in GenAI and LLMOps, coupled with strong Python programming skills.
Job Description:
1. Design and develop advanced LLM-powered agents and sophisticated AI workflows.
2. Construct and optimize Retrieval Augmented Generation (RAG) pipelines utilizing embeddings and vector databases.
3. Engineer advanced prompts, including few-shot learning, structured output generation, and effective tool calling mechanisms.
4. Implement robust text-to-SQL and insight generation pipelines to extract actionable intelligence from data.
5. Develop and apply comprehensive evaluation frameworks to assess the accuracy, latency, and cost-efficiency of AI models.
6. Collaborate closely with backend engineering teams to ensure seamless productionization and deployment of AI systems.
7. Conduct thorough debugging and experimentation to continuously improve model performance and reliability.
8. Stay abreast of the latest advancements in GenAI and LLMOps to integrate cutting-edge solutions into product development.
9. Contribute to the architectural design and technical strategy for AI product development initiatives.
Skills and Qualifications:
- 5-8 years of professional experience in product engineering or a related AI/ML role.
- Proven expertise in Python programming for AI/ML development.
- Demonstrated hands-on experience with large language model (LLM) APIs, such as OpenAI or Anthropic.
- Proficiency in LLM orchestration frameworks like LangChain, LlamaIndex, or equivalent.
- Solid understanding of embeddings, semantic search, and Retrieval Augmented Generation (RAG) architectures.
- A strong aptitude for debugging, problem-solving, and experimental design in AI contexts.
Preferred Qualifications:
- Experience with MLOps/LLMOps platforms and tools (e.g., MLflow, Langfuse, Weights & Biases).
- Familiarity with multi-agent system design and implementation.
- Domain knowledge in analytics or pharmaceutical industries.
- Understanding of cost optimization and model routing strategies for AI deployments.
Skills
Mandatory Skills : GenAI - LLMOps, Python
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and current roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert
📌 Specialist - Product Engineering (Pune)
🏢 LTM
📍 Pune