Senior AI/ML Engineer at Abstrabit Technologies Pvt Ltd

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

0.0

Posted On

18 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agent-Based Systems, AI Architectures, Multi-Agent Systems, RAG Systems, Fault-Tolerant Systems, Workflow Orchestration, Multi-modal Agent Development, Reasoning Patterns, Tool Ecosystems, Knowledge Graph Integration, Model Fine-Tuning, Python, Vector Databases, System Design, Scalable Architecture, AI/ML Engineering

Industry

Software Development

Description

Company Description We specialize in building intelligent AI agents that transform the way businesses operate. Our focus is on designing AI-driven solutions tailored to real-world use cases across industries – from customer engagement and sales automation to knowledge management and workflow optimization. Job Description Job Overview We are seeking a highly skilled Senior AI Engineer specializing in agent-based systems and advanced AI architectures. The ideal candidate will have deep expertise in designing scalable, production-grade multi-agent systems, implementing advanced reasoning capabilities, and building robust, secure, and intelligent AI solutions. Key Responsibilities: Architecture & System Design Designing multi-agent architectures (supervisor, hierarchical, collaborative patterns) Building fault-tolerant, production-grade agent systems with error recovery, fallback strategies, and human-in-the-loop escalation Architecting scalable RAG systems (hybrid search, query decomposition, agentic retrieval) Designing agent evaluation and benchmarking frameworks from scratch Security and safety patterns for autonomous agents (sandboxing, permission scoping, content filtering) Advanced Agent Capabilities Complex workflow orchestration — agents that plan, delegate, self-correct, and iterate Multi-modal agent development (vision, audio, document understanding) Implementing advanced reasoning patterns (ReAct, reflection, tree-of-thought, self-critique loops) Building custom tool ecosystems — MCP servers, plugin architectures, dynamic tool selection Knowledge graph integration and structured knowledge management for agents Fine-tuning and distillation of models for domain-specific agent behaviors Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field 2- 5 years of experience in AI/ML engineering, with a focus on LLMs or agent-based systems Strong experience in system design and scalable architecture Proficiency in Python and modern AI frameworks Hands-on experience with RAG pipelines and vector databases Familiarity with model fine-tuning, evaluation, and deployment Additional Information Why Join Us Work on cutting-edge AI agent technologies Opportunity to design next-generation intelligent systems Collaborative and innovation-driven environment

Responsibilities

The role involves designing and building scalable, production-grade multi-agent systems, including architecting RAG systems and developing advanced agent capabilities like planning and self-correction. Key tasks include designing fault-tolerant architectures, implementing complex workflow orchestration, and creating agent evaluation frameworks.