IG LABS · AN INSIGHT GLOBAL COMPANY

Technical/Field Engineer We are looking for a Technical/Field Engineer to make IG Labs' Factory and solutions work inside the client's own technology stack. You are the specialist who brings it: you learn a client's stack fast, prove what is possible in it, and solve the hard, stack-specific problems that decide whether a deployment succeeds. This is core delivery engineering, the difference between a solution that ships and one that stalls. You also own how a deployment satisfies the client's security and governance requirements, so what proves feasible is also safe to put into production.

You are a senior engineer in our delivery organization, based in India, working within the POD model alongside the SAs, TAs, FDEs, and the Data and UI/UX engineers who build the rest of the system.

De-risk engagements early: turn an open technical question into a clear, evidence-backed yes or no, rapid.
Own the hard, methodical debugging: the integration, compatibility, environment, and performance problems that take real expertise and patience to unwind.
Own the security and governance of our AI deployments: how the system handles data, access, and secrets, and the controls an enterprise requires.
Make sure deployments meet the client's security posture and the regulatory constraints of their industry, with particular care in financial services and healthcare.
Put the right controls around agentic systems: data protection and PII handling, access and permissions, audit and lineage,



and the guardrails that keep autonomy within policy.
Building Reusable Capability
Treat capability-building as core, not overhead. 8+ years in a deeply technical engineering role (solutions engineering, platform or systems engineering, complex integration, or similar), with a track record of going into unfamiliar technology and making it work. Comfortable building proofs-of-concept quickly to prove or disprove an approach. Strong across the modern stack: cloud, APIs and integration, data, and the systems clients actually run. A solid command of security and governance in enterprise deployments: access control, data protection, audit, and compliance. Experience deploying software into enterprise client environments, especially regulated ones in financial services or healthcare. Breadth across multiple clouds and a wide range of technologies and languages. Experience with AI and agentic systems (LLM orchestration, RAG, agent runtimes). Experience with AI governance and responsible-AI controls (guardrails, PII handling, model and data governance) and with security reviews in regulated environments. Cloud Platforms
AWS, Azure, GCP
Languages
Python, plus the fluency to pick up Java, Go, or TypeScript fast
Data & Storage
SQL, data platforms, vector stores
Profiling, tracing, log analysis, observability (Datadog, Grafana)
Containers & Deployment
Docker, Kubernetes, CI/CD
IAM, secrets management, data protection, audit and lineage, policy guardrails
AI & Agentic
LLM orchestration, RAG, agent runtimes

📌 Technical Engineer - Laboratories (Secunderabad)
🏢 Insight Global
📍 Secunderabad