Salary
≈ $37k – $81k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Senior · 12+ years exp
Overview
Company
Impact
Profile match
DTDL (Digital Transformation and Data Analytics Solutions) is an Indian technology firm specializing in digital solutions, data management, and enterprise IT services. The company provides customized software development, cloud integration, and advanced analytics to help businesses optimize their operations and scale efficiently. Based in India, it serves as a digital transformation partner for organizations looking to leverage technology for business growth and modernization.
We are looking for a strong Sr. Engineering Manager - AI Engineering with deep exposure to building and scaling AI-driven platforms and Agentic workflows in production environments.
Requirements:
- Experience: 12-16 Years.
- Strong awareness, hands-on exposure, and architectural understanding of LLM Integration, RAG Pipelines, Prompt Engineering, AI Evaluation / Eval Frameworks, Agentic AI Architecture, Agentic System Tracing and Observability.
- Experience working with at least one orchestration framework such as LangGraph (preferred) or LangChain / similar Agentic frameworks.
- Ability to drive AI-led transformation for traditional business workflows and operational processes.
- Strong stakeholder management, business communication, and executive presence.
- Comfortable collaborating directly with business teams for AI use-case rollout and adoption.
- Experience managing cross-functional engineering teams in product-driven environments.
Preferred Experience:
- Exposure to AI ecosystem partners/platforms such as ElevenLabs, Decagon, Wondercraft / similar AI platforms.
- Experience evaluating and integrating external AI tools, APIs, and conversational AI platforms.
- Strong product mindset with ability to balance experimentation and scalable execution.
Ideal Candidate:
- Hands-on engineering leader who can guide architecture while also influencing product and business outcomes.
- Strong attitude, ownership mindset, and ability to operate in fast-moving AI environments.
- Prior experience building AI/GenAI solutions in production is highly preferred.
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