Utilize ML frameworks including TensorFlow, PyTorch, Scikit‑learn, XGBoost for model development and experimentation.
Contribute to LLM integration, prompt engineering, model orchestration patterns, and high‑performance inference pipelines.
Process and engineer data using Pandas, NumPy, Polars, supporting ML workflows and feature engineering.
Work with model interpretability tools (SHAP, LIME) and A/B testing frameworks to evaluate model performance.
Hands-on experience on agentic AI using frameworks like AutoGen, CrewAI
Hands-on experience of development and deployment of MCP servers
Partner with product owners and stakeholders to translate business requirements into technical designs and implementation plans.
Participate actively in architectural discussions, contribute to long‑term technical roadmaps, and influence engineering best practices.
Conduct code reviews, ensure high coding standards, and promote best‑practice development patterns.
Mentor junior and mid‑level engineers, providing technical leadership and fostering strong engineering culture.
Who You Are
You are a quick learner, willingness to improve and have a problem solving and collaborative approach. Having User centric approach, good analytical skills to understand topics in broader perspective. You always keep the end in sight; puts in extra effort to meet deadlines. You are inter-personal savvy and have excellent verbal and written Communications Skills.
For This Role, You Will Need
Bachelor’s degree in computer science, Computer Engineering, IT, or equivalent (MSc/MCA preferred).
8+ years of software engineering experience, including substantial production Python development. Avoid requiring eight years of AI/LLM experience, since the field is newer.
Strong Python fundamentals: typing, async/concurrency, API design, error handling, testing, profiling, and maintainable package/service architecture.
Production experience with FastAPI or a comparable Python API framework, relational databases, and automated testing/CI.
Applied experience building or operating LLM-backed applications, preferably RAG systems using embeddings, vector or hybrid retrieval, and reranking.
Understanding of how to evaluate LLM features with representative datasets, measurable acceptance criteria, and regression tests rather than relying on prompt review alone.
Experience securing APIs and distributed services, including authentication, authorization, secrets, and safe handling of sensitive data.
Experience operating containerized services in Kubernetes or a comparable production platform.
Strong communication and technical leadership: can explain tradeoffs, review designs, mentor engineers, and own work through production support.
Preferred Qualifications That Set You Apart
Experience working in Agile development methodology.
Experience with industrial automation, process control, engineering documentation, or other safety- or reliability-sensitive domains.
Experience with on-premises or air-gapped deployments, private registries, customer-managed certificates, and local inference.
Familiarity with inference serving and optimization such as batching, concurrency limits, quantization, GPU memory management, or model capacity planning.
Experience with tools such as PostgreSQL/pgvector, OpenTelemetry, Prometheus, and Grafana.
Experience with agents or MCP servers, especially permissioned tools, auditability, and robust failure behavior.
React/TypeScript experience if this role is expected to contribute substantially to the UI.
Our Culture & Commitment to You
At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams working together are key to driving growth and delivering business results.
We recognize the importance of employee well-being. We prioritize providing competitive benefits plans, a variety of medical insurance plans, an Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation, and holiday leave.
