Forward Deployed Engineer
Department:
Job Summary
We are seeking a Forward Deployed Engineer (FDE) to join Sias AI Factory (AIF) embedded directly within a clients engineering product or service team. This role combines hands-on software engineering with client-facing delivery to close platform gaps and deliver production use cases. You will work within the clients codebase and engineering standards owning agreed deliverables from understanding requirements through deployment and handover.
Key Responsibilities:
Work embedded within the clients team participating in planning standups and delivery activities alongside client and Sia engineers.
Translate client needs into scoped technical deliverables clear acceptance criteria and measurable outcomes.
Design develop and deploy production-quality Python backend services APIs connectors and integrations.
Identify and address platform gaps within the agreed scope aligning architectural changes and dependencies with the relevant owners.
Develop and integrate RAG pipelines tool-calling agents and LLM workflows using approved model gateways and data sources with appropriate evaluation and safeguards.
Deliver use cases alongside platform improvements balancing delivery timelines with maintainability security and reliability.
Apply code reviews automated testing CI/CD logging and monitoring; track quality latency and cost for delivered AI components.
Communicate technical trade-offs progress blockers and risks clearly to client stakeholders escalating scope changes and dependencies early.
Document technical decisions and operational procedures and provide knowledge transfer so the clients team can maintain and operate the solution.
Qualifications :
Education: Bachelors or masters degree in Computer Science Software Engineering or a related field or equivalent practical experience.
Experience: 36 years of software development experience with a strong focus on Python backend development in production.
Strong Python skills and experience with FastAPI Flask Django or a comparable framework including API design and system integrations.
Ability to understand unfamiliar codebases troubleshoot issues and contribute production-quality code.
Experience with SQL databases such as PostgreSQL a cloud platform such as AWS GCP or Azure and Docker Git CI/CD and automated testing.
Practical experience with RAG LLM applications or tool-calling workflows including an understanding of retrieval evaluation and AI safety considerations.
Comfort working within an embedded client team clarifying ambiguous requirements and taking ownership of agreed deliverables.
Experience working within governed enterprise environments including approved libraries and services data access controls and security review processes.
Strong written and verbal communication skills with the ability to explain technical decisions to engineers and non-technical stakeholders.
Good to have: agent orchestration frameworks vector search tools enterprise GenAI platforms Kubernetes or NoSQL databases.
Good to have: Spark Databricks prior consulting or client-facing delivery or experience in regulated domains such as financial services healthcare or the public sector.
Additional Information :
What We Offer
Opportunity to lead cutting-edge AI projects in a global consulting environment.
Leadership development programs and training sessions at our global centers.
A dynamic and collaborative team environment with diverse projects.
Position based in Mumbai (onsite)
Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs.
Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs.
Remote Work :
No
Employment Type :
Full-time
About Company
Sia est un groupe international de conseil en management de nouvelle génération. Fondé en 1999, nous sommes nés à l’ère du numérique. Aujourd’hui, nos services en stratégie et management sont augmentés par la data science, enrichis par la créativité et guidés par la responsabilité. No ... View more