Engineering Manager

Overview :
TekWissen is a global workforce management provider throughout India and many other countries in the world. The job opportunity described below is for one of our clients, who has developed a core competence in creating and deploying cost-effective capabilities using an offshore-centric business model. Position: Engineering Manager Location: Remote Job Type: Contract
Duration: 6 Months Work Type: Remote
Job Description:

• Engineering Manager & Principal Systems Architect (AgenticOps Core)
• We are seeking a hands-on Engineering Manager & Principal Systems Architect to serve as the technical anchor, customer-facing architect, and engineering leader for our enterprise AgenticOps platform.
• In this player-coach role, you will lead a specialized engineering pod building production grade autonomous runtimes for enterprise IT and SecOps. You will own the architectural blueprint, write production code, fine-tune models, and work directly with enterprise customers and technical partners across NVIDIA and Cisco.

Core Responsibilities:

• Architecture & Hands-On Engineering: Lead, design, and personally code an event-driven, high-throughput multi-agent platform in Golang for closed-loop IT self-healing and SecOps containment.
• Customer & Partner Advisory: Serve as primary technical lead for enterprise clients and design partners (Cisco, NVIDIA). Lead deep-dive architectural workshops and translate complex operational workflows into multi-agent specifications.
• NVIDIA AI Stack & Inference Acceleration: Architect GPU-accelerated inference pipelines using NVIDIA NIM microservices, NeMo Framework/Guardrails, and TensorRT-LLM across DGX clusters, hybrid cloud, and edge.
• Model Adaptation & Fine-Tuning: Lead data curation and fine-tuning pipelines (PEFT, LoRA/QLoRA, distillation) to adapt open-weight models (Llama, Mistral, Qwen, DeepSeek) for IT/SecOps tasks.
• Agent Frameworks & Open-Source Ecosystem: Build durable agent runtimes using LangChain, LangGraph, or custom state machines. Leverage open-source agentic and execution tooling (e.g., OpenClaw, Nemoclaw) and local inference engines (vLLM, Ollama).
• Safety, Governance & AI-Native SDLC: Engineer deterministic safety harnesses (dry-run preflights, blast-radius containment, rollbacks) and establish an AI-augmented SDLC (agentic PR reviews, synthetic evals, LLM-as-a-judge).
• Team Leadership & Integration: Recruit, mentor, and lead an elite pod; enforce rigorous code reviews, evals, and OpenTelemetry observability while integrating with enterprise substrates (Cisco Cloud Control, Intersight, Nexus, Splunk).

Required Qualifications:

• Experience & Scope: 10+ years architecting scalable distributed systems and backend infrastructure, with 3+ years as a hands-on player-coach leading engineering teams.
• Customer-Facing Acumen: Proven ability to interface with enterprise architects and leaders on technical discovery, system architecture, and complex deployments.
• Core Languages: Deep production mastery of Go (Golang) for high-concurrency, low-latency microservices; strong proficiency in Python for AI/ML pipelines and orchestration.
• NVIDIA AI Stack: Hands-on experience with NVIDIA AI Enterprise, NIMs, NeMo Guardrails, TensorRT-LLM, and Triton Inference Server on modern GPU architectures.
• LLM Engineering & Fine-Tuning: Practical experience with fine-tuning toolchains (Hugging Face, PEFT/LoRA, Axolotl, DeepSpeed), alignment (DPO/RLHF), quantization, and agent frameworks (LangChain, LangGraph, DSPy).
• Open-Source Tooling: Experience self-hosting open models (vLLM, Ollama) and integrating open-source agentic/browser automation tools (OpenClaw, Browser-Use).
• Distributed Systems & Safety: Strong background in event-driven streaming (Kafka, NATS, gRPC), vector/graph databases (pgvector, Qdrant, Neo4j), and zero-trust safety execution guardrails.
• Domain Fluency: Working knowledge of enterprise IT fabrics (SDN, data center networking), observability platforms (Splunk, ThousandEyes), and SOC incident lifecycles.

Leadership & Role:

• Engineering Manager, Principal Systems Architect, Player-Coach
• Hands-on Technical Leadership, Team Mentoring, Code Reviews
• Customer-Facing Architect, Technical Discovery, Architectural Workshops

Core Languages & Backend

• Golang (Go), Python
• Distributed Systems, Event-Driven Architecture, Microservices
• High-Concurrency, Low-Latency, High-Throughput
• gRPC, Kafka, NATS

Agentic AI

• AgenticOps, Multi-Agent Systems, Autonomous Agent
• LangChain, LangGraph, DSPy, Custom State Machines
• OpenClaw, Browser-Use
• Closed-Loop Automation, IT Self-Healing, SecOps Containment

NVIDIA AI Stack:

• NVIDIA AI Enterprise, NVIDIA NIM, NeMo Framework, NeMo Guardrails TensorRT-LLM, Triton Inference Server
• DGX, GPU-Accelerated Inference

LLM Engineering & Fine-Tuning

• Fine-Tuning, PEFT, LoRA/QLoRA, Distillation, Quantization
• DPO, RLHF, Alignment
• Hugging Face, Axolotl, DeepSpeed
• Open-Weight Models (Llama, Mistral, Qwen, DeepSeek)
• vLLM, Ollama, Self-Hosted LLMs

Data & Storage

• Vector Databases (pgvector, Qdrant), Graph Databases (Neo4j)

Safety & Governance

• Zero-Trust, Safety Guardrails, Dry-Run Preflight
• Blast-Radius Containment, Rollbacks
• LLM-as-a-Judge, Synthetic Evals, Agentic PR Reviews, AI-Native SDLC

Observability & Enterprise Integration

• OpenTelemetry, Splunk, ThousandEyes
• Cisco Cloud Control, Intersight, Nexus
• SDN, Data Center Networking, SOC Incident Lifecycle.

Experience Requirements

• 10+ Years in Distributed Systems / Backend Infrastructure
• 3+ Years Player-Coach / Team Lead
• Enterprise Customer Engagement (Cisco, NVIDIA partners)

Required Competencies

• Must possess excellent communication skills oral and written
• Must possess knowledge of latest technology trends
• Must be a keen learner should be able to drive "Self Learning"
• Must practice principle of "First Time Right"
• Must have an Eye for Details
• Must have high Customer Orientation
• Must be adaptable to working in multiple / matrix work environment
• Must possess good systems thinking
• Must possess good negotiation, analytical and interpersonal skills. Good leadership & team player qualities.
• High on personal integrity with ability to establish relationships and work in teams and should be
• able to influence stakeholders. Should poses independence, robust ethics and resilience.

Years of Experience:

• 10+ years of relevant work experience with a reputed organization.

Educational Qualification:

• ME (IT, Computer), BE (IT, Computer), MCA, MSC-IT, BCA

TekWissen Group is an equal opportunity employer supporting workforce diversity