Agentic AI Engineer Job at Sigma Software Group

Agentic AI Engineer

Our client is a disruptive tech startup based in Malaysia, backed by an elite le...

Location

Malaysia , Kuala Lumpur

Salary:

Not provided

Randstad

Expiration Date

July 10, 2026

Requirements

3+ years in software engineering, with a significant portfolio of building and deploying AI agents (AutoGPT, BabyAGI, LangGraph, or custom orchestration frameworks) in production
Experience taking a product from a local PoC to a scalable, live environment
Proficiency in Mandarin is a strong advantage
Expert level in Python and frameworks like LangChain
Deep understanding of GPT-4, Claude 3.5, and open-source models (Llama, Mistral), including fine-tuning and RAG optimization
Ability to design tool-use (function calling), memory management, and self-correction loops for agents
Mastery of tools like GitHub Copilot or Cursor to maintain high velocity
Exceptional communication skills and the 'agentic' personality trait—proactive, resourceful, and problem-solving oriented

Job Responsibility

Designing, developing, and deploying complex AI agents capable of multi-step reasoning and autonomous execution
Work toward a critical year-end product launch
Direct, transparent collaboration with senior founders
Use LLMs and GenAI tools to accelerate your own coding output
Move AI beyond 'chat' into 'action', creating agents that can navigate complex workflows with minimal supervision

Agentic AI Engineer

We are looking for highly skilled Agentic Engineers with strong hands-on experie...

Location

India , Chennai City Corporation

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

1–2 years of hands-on experience in Generative AI, AI Engineering, or Agentic AI systems
Strong Python programming skills with practical backend engineering experience
Deep practical experience building with: Large Language Models (LLMs), AI Agents, Context Engineering, Workflow Orchestration Systems, Multi-Agent Architectures
Strong understanding of: Prompt Design, Context Management, Tool Calling, Memory Systems, Guardrails, Evaluations & Reliability Engineering
Experience with frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or custom orchestration systems
Hands-on experience with SQL/NoSQL databases, vector databases, RAG systems, observability platforms, and AI evaluation frameworks
Strong product mindset with focus on measurable user value and business outcomes
Proven ability to ship quickly, iterate fast, and improve workflows based on real-world usage
Track record of improving reliability, reducing latency/cost, or increasing automation efficiency
Experience working with coding assistants such as GitHub Copilot, Cursor, Claude Code, and Azure Copilot Studio

Job Responsibility

Build and maintain production-grade AI agent orchestration systems
Design intelligent workflows involving tool calling, memory systems, reasoning, and multi-agent collaboration
Develop robust prompt pipelines with structured outputs, retries, fallbacks, and evaluation systems
Manage orchestration stacks across multiple LLM providers/models with routing and optimization strategies
Implement governed AI agents with enterprise-grade guardrails and secure execution patterns
Build and optimize Retrieval-Augmented Generation (RAG) pipelines and context-aware AI systems
Implement observability, monitoring, tracing, and failure-handling mechanisms for AI workflows
Improve AI reliability through prompt engineering, structured outputs, evaluation systems, and workflow optimization
Optimize latency, token usage, infrastructure cost, and automation efficiency across AI systems
Build scalable and maintainable AI workflow architectures for production environments

What we offer

Opportunity to work on cutting-edge AI agent orchestration and Generative AI platforms
Hands-on exposure to LLMs, RAG systems, multi-agent architectures, and enterprise AI workflows
Collaborative and innovation-driven engineering culture
Exposure to real-world AI transformation and automation projects
Fast-paced learning environment with strong career growth opportunities
Competitive compensation and performance-driven growth path

Fulltime

Agentic AI Engineer

Role - Agentic AI Engineer; Location - Boston, MA (ONSITE); Experience – 5+; Typ...

Location

United States , Boston

Salary:

172500.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
Proficiency in Python and modern AI/ML frameworks, AWS
Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)
Proficiency in vector databases and embedding models for retrieval tasks
Experience with Data Connectors and API gateways that support seamless communication between systems
Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets
Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation
Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms

Job Responsibility

Focus on designing, building, and optimizing AGENTC capabilities using large language models and advanced reasoning frameworks
Strong technical depth, a passion for building, workstreams in a fast-paced, innovation-driven environment
Build serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory, Gateway, Identity, Interpreter, Observability and Runtime
Implement and operate A2A/MCP servers on AWS
integrate with Bedrock Agents/Converse APIs
Orchestrate multi‑agent plans with Strands Agents
deploy to EKS or Lambda
Instrument agents with CloudWatch metrics, spans, and traces
enable audits
Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions

Fulltime

Agentic AI Engineer

We’re looking for a highly motivated early career Agentic AI Engineer to help do...

Location

United States , San Francisco

Salary:

175000.00 - 220000.00 USD / Year

Parafin

Expiration Date

Until further notice

Requirements

1-4 years of experience
Familiarity with basic LLM principles
Bias towards first-principles thinking and strong engineering fundamentals
Proficiency in backend development, ideally with Python, Go, or similar languages
Passion for building impactful financial products that empower small businesses
Excellent communication and collaboration skills, especially in cross-functional settings

Job Responsibility

Build end-to-end GenAI-based systems from the ground up in a lean, fast-paced team, working across the entire stack from data collection and experimentation to integration and reliability
Shape the direction of our applied GenAI areas of investment by engaging with engineering and product teams across the company
Architect and implement robust & scalable infrastructure, from supporting platform-level monitoring and auditing systems to safely integrating agents into production environments
Collaborate with cross-functional teams to deliver seamless product integrations and enhance the merchant experience
Work with industry-leading GenAI libraries, frameworks, and platforms to drive successful business outcomes

What we offer

Equity grant
Medical, dental & vision insurance
Work from home flexibility
Unlimited PTO
Commuter benefits
Free lunches
Paid parental leave
401(k)
Employee assistance program

Fulltime

Agentic AI Engineer

AI Engineer – Python | Azure Foundry | Agentic AI. The work sits at the intersec...

Location

United Kingdom

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Strong Python engineering skills
Hands-on experience with Azure Foundry
Practical expertise in Agentic AI workflows
Solid grounding in modern AI/ML engineering practices
Design, deploy, and maintain production-grade AI solutions
Candidates must be eligible to work in the UK without sponsorship

Job Responsibility

Designing and implementing agentic AI workflows
Building Python-based automation and intelligence layers
Contributing to a broader Azure Foundry-based AI platform

Software Dev Engineer, Agentic AI, Agentic AI Foundation

Interested in building the future of intelligent AI agents? The Agentic AI organ...

Location

United States , Jersey City; New York

Salary:

158100.00 - 213800.00 USD / Year

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

3+ years of non-internship professional software development experience
3+ years of programming with at least one software programming language experience
3+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience

Job Responsibility

Designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base
Collaborating closely with a team of applied scientists to influence our overall strategy
Driving the system architecture
Spearheading best practices that enable a quality product
Helping coach and develop junior engineers

What we offer

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

Fulltime

Senior AI Engineer (Agentic AI / LLM Engineering)

We’re partnering with a rapidly growing, innovation-focused organization that is...

Location

United States

Salary:

Not provided

Zeektek

Expiration Date

Until further notice

Requirements

5+ years of experience in software engineering, data engineering, or AI/ML engineering
Hands-on experience building applications using LLMs (e.g., GPT, open-source models)
Experience with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)
Strong programming skills in Python
Experience working with large datasets and distributed data platforms
Familiarity with Databricks or similar modern data platforms
Experience building production-grade AI systems (not just POCs)
Strong understanding of prompt engineering and LLM optimization techniques

Job Responsibility

Design and build agentic AI systems leveraging large language models (LLMs)
Develop scalable AI solutions using modern data and AI platforms (Databricks preferred)
Translate business problems into production-ready AI workflows and applications
Collaborate with product and architecture teams to define AI use cases and technical approaches
Implement and optimize: Prompt engineering strategies
Token usage and cost efficiency
Model performance and response quality
Work with large-scale datasets to support training, fine-tuning, and inference workflows
Contribute to the development of AI engineering standards, frameworks, and best practices
Partner with data science teams to integrate models into production environments

What we offer

Weekly Direct Deposit
401K Matching
Competitive medical, dental and vision insurance
Consistent communication throughout your project
ZeekTek Referral Program

Senior AI Engineer (Agentic AI)

High-autonomy role focused on the deployment, maintenance, and evolutionary scal...

Location

Singapore , Singapore

Salary:

8000.00 - 9000.00 SGD / Month

Randstad

Expiration Date

July 27, 2026

Requirements

At least 5 years of experience in machine learning, system deployment, or semiconductor automation
Proven expertise in GenAI workflows, including prompt engineering, PEFT/LoRA fine-tuning, RAG, and multi-agent frameworks
Technical proficiency in Python and libraries such as PyTorch, TensorFlow, and OpenCV is required
Strong understanding of SQL, big data architectures, Git, Docker, and cloud platforms like AWS, Azure, or GCP

Job Responsibility

Lead the design, deployment, and integration of autonomous AI systems for multi-step reasoning and automated workflows within the fab ecosystem
Monitor production performance, manage retraining pipelines, and address data drift or anomalies
Fine-tune LLMs and computer vision frameworks using equipment metadata for failure triage, yield assistance, and hardware accuracy
Partner with IT to orchestrate scalable SQL/Big Data pipelines while ensuring strict data governance
Provide architectural guidance and mentorship on scaling and deploying robust AI/ML systems

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Agentic AI Engineer

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