Job Description

Experience : 2.00 + years Salary : INR 1500000-2500000 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Pune) Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Anervea.AI) (*Note: This is a requirement for one of Uplers' client - Anervea.AI) What do you need for this opportunity? Must have skills required: Clinical Data, Python, GenAI, RAG Framework, LLM, HealthTech, biomedical, Pharmaceutical Anervea.AI is Looking for: Key Responsibilities : Develop, train, and fine-tune large language models and generative architectures (LLMs, VAEs, Transformers, GANs) Integrate models with applications using LangChain, LlamaIndex, RAG, and other frameworks Design LLM-based agents for specific use cases: summarization, classification, scoring, Q&A, translation Build prompt templates and semantic memory flows using vector databases like Pinecone or FAISS Collaborate with backend and data teams to ingest data from PDFs, APIs, structured databases, and JSON files Benchmark model outputs and run experiments to optimize cost, performance, and quality Stay on top of AI research and rapidly implement useful techniques in production environments Write clear, modular, reusable code with documentation and test coverage Troubleshoot model-related deployment or inference issues Technical Skills Required : Strong Python programming skills Experience with Transformers, Hugging Face, OpenAI/Anthropic APIs, Med-GEMMA, or similar foundation models Experience with agentic frameworks: LangChain, LlamaIndex, LangGraph, semantic RAG Familiarity with Vector database experience (Pinecone, FAISS, Weaviate, or similar) Comfortable with prompt engineering, few-shot learning, fine-tuning basics Ability to process and clean unstructured data (PDFs, notes, research papers, etc.) Understanding of NLP metrics and model evaluation techniques Bonus: experience with biomedical or clinical data (PubMed, ClinicalTrials.gov, etc.) Bonus: experience with deploying models via FastAPI, Docker, or Streamlit Personal Attributes : Curiosity and willingness to learn new models and tools quickly Attention to detail and commitment to quality Ownership mindset?you care about the outcome, not just the code Ability to work independently and push through ambiguity Passion for building usable AI, not just research prototypes Strong communication and collaboration skills across tech and domain teams Bonus Qualities : You?ve built or deployed LLMs into production You?ve worked with healthcare or life sciences data You can show personal projects, GitHub repos, or AI experiments that demonstrate your passion Interview Process: 1 Technical round with Head of Engineering How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!