Overview
Job title: AI Engineer
- Location: Hyderabad
We are looking for a Specialized AI Engineer to design, build, and optimize LLM-powered systems, including prompt-driven analytics, domain-tuned AI models, and scalable inference services for Opella’s internal decision-support and analytics platforms.
This role is highly engineering-focused, responsible for building the intelligent layer that enables business users to interact with insights, data, and systems using natural language — across commercial, finance, supply chain, digital, and consumer insights teams.
You will architect reliable conversational workflows, scalable retrieval pipelines, generative query builders, and model-augmented automation services that transform how Opella teams work and make decisions.
Main Responsibilities
- Design and optimize prompts, system messages, domain instructions, and task-agent workflows to maximize accuracy, reliability, and interpretability.
- Build and maintain RAG pipelines including domain retrieval services, embeddings-based matching, similarity search, and knowledge extraction frameworks.
- Implement LLM model refinement using fine-tuning, prompt tuning, or domain corpus training where needed.
- Develop low-latency inference APIs and microservices using Python, FastAPI, Docker, and cloud execution environments.
- Improve performance through token budgeting, context compression, vector indexing, and cost-aware inference scaling.
- Build automated evaluation harnesses and hallucination prevention frameworks, including guardrails for enterprise AI usage.
- Collaborate with platform & security teams to ensure privacy-safe, secure, and compliant use of AI in production.
- Monitor model drift, usage patterns, and failure modes, driving continuous improvement in precision and reliability.
- Align AI outputs with governed KPIs and semantic standards, in collaboration with enterprise data architects.
You are an AI engineer with a strong ML foundation capable of designing, deploying, and optimizing large-scale AI systems. You bring:
- 7+ years of hands-on experience in AI/ML engineering building production-ready systems.
- Strong programming ability in Python, with deployment experience using FastAPI, Flask, or similar frameworks.
- Practical expertise with LLMs, embeddings, RAG workflows, and vector search technologies (e.g., Pinecone, Elastic Vectors).
- Solid grounding in machine learning fundamentals, including model training, fine-tuning, evaluation, and inference optimization.
- Experience building scalable inference pipelines, leveraging Docker, Kubernetes, Lambda, or serverless compute frameworks.
- Familiarity with ML lifecycle practices — monitoring, drift detection, versioning, reproducibility, and performance tuning (MLFlow, Airflow, etc.).
- Ability to build clean, reliable software, including CI/CD workflows, version control, automated testing, and secure deployment practices.
- Working knowledge of statistics, feature engineering, and domain interpretation, ideally within commercial, retail, CPG, or data-intensive environments.
- Understanding of semantic models, governed KPIs, metadata alignment, and SQL-based analytics integration (Snowflake/DBT is a plus).
- Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or related fields.
- Master’s degree or certifications in AWS/GCP/Azure AI/ML, Snowflake, or Databricks are a plus.
At Opella, you will enjoy doing challenging, purposeful work, empowered to develop consumer brands with passion and creativity. This is your chance to grow new skills and be part of a bold, collaborative, and inclusive culture where people can thrive and be at their best every day.
We Are Challengers.
We Are Dedicated To Making Self-care As Simple As It Should Be. That Starts With Our Culture. We Are Challengers By Nature, And This Is How We Do Things
All In Together: We keep each other honest and have each other's backs.
Courageous: We break boundaries and take thoughtful risks with creativity.
Outcome-Obsessed: We are personally accountable, driving sustainable impact and results with integrity.
Radically Simple: We strive to make things simple for us and simple for consumers, as it should be.
Join us on our mission. Health. In your hands.
www.opella.com/en/careers