AI Engineer – Agentic AI | USA (PST Candidates Only)

Tech Junction Ltd; Los Angeles (CA); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Tech Junction Ltd. is hiring an experienced AI Engineer specializing in Agentic AI to design, implement, and maintain autonomous agent runtimes and LLM integration pipelines.

You will leverage Claude Agent SDK, Python, and AWS Bedrock to deliver scalable, observable AI systems in a demanding enterprise environment. The role requires 10+ years of software and AI experience, strong Python skills, and hands-on work with Langfuse for observability and evaluation.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical discipline.
• Minimum of 10+ years of progressive professional experience in software engineering and artificial intelligence.
• Strong hands-on Python programming and experience with Claude Agent SDK.
• Experience deploying AI runtimes on AWS Bedrock and LLM observability with Langfuse.

Responsibilities

• Design and scale advanced agentic AI applications and autonomous multi-agent systems.
• Deploy and manage agentic workloads on AWS Bedrock and cloud infrastructure.
• Implement LLM observability, tracing, and evaluation using Langfuse.
• Build RAG pipelines, vector databases, and knowledge bases.
• Automate CI/CD pipelines with GitHub Actions and AWS tools.
• Collaborate with AI research, software architects, and product teams.
• Document agent prompts, evaluations, APIs, and runbooks.

Skills

Python

Claude Agent SDK

AWS Bedrock

Langfuse

Vector DBs

Education

BSc/MSc in CS/AI

Tools

Docker

Kubernetes

Terraform

Job description

Position Summary

We are actively seeking an experienced, high-caliber, and technical AI Engineer specializing in Agentic AI, Claude Agent SDK, and AWS Bedrock with 10+ years of progressive professional software engineering and artificial intelligence experience to join our client’s technology engineering team on a 6-month contract basis with expected extensions. In this critical senior AI engineering role, you will be responsible for designing, developing, scaling, and maintaining advanced agentic AI workflows, autonomous agent runtimes, and large language model integration pipelines. You will leverage your deep specialist expertise in Claude Agent SDK, Python, AWS Bedrock AgentCore Runtime, LLM observability, and vector database architectures to deliver uncompromised system intelligence, high reliability, and operational excellence. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier digital transformation enterprise.

Detailed Job Description

As an AI Engineer specializing in Agentic AI, you will take full operational, tactical, and technical ownership of autonomous agent architectures, generative AI system integrations, and production LLM evaluation frameworks. Your day-to-day responsibilities include building sophisticated autonomous agents using the Claude Agent SDK and Python, deploying and managing runtimes on AWS Bedrock AgentCore, implementing comprehensive LLM observability, tracing, and evaluation using Langfuse, designing and optimizing Retrieval-Augmented Generation (RAG) pipelines, vector databases, and knowledge bases, automating deployments using GitHub Actions, CI/CD pipelines, and AWS services, troubleshooting model latency, token efficiency, and reasoning bottlenecks, and collaborating closely with data science squads and product managers. You will utilize your proactive troubleshooting and analytical problem‑solving skills to resolve complex artificial intelligence anomalies under strict enterprise delivery schedules. Furthermore, you will manage application requirements by sending your updated resume via direct email to Mike S at [e-mail], ensuring strict compliance with the PST timezone availability and occasional Los Angeles travel requirements.

Key Responsibilities

• Design, architect, develop, and scale advanced agentic AI applications and autonomous multi‑agent systems using Python and Claude Agent SDK.
• Deploy, configure, and manage agentic workloads on AWS Bedrock AgentCore Runtime and cloud infrastructure.
• Implement rigorous LLM observability, tracing, metrics tracking, and evaluation frameworks utilizing Langfuse.
• Build, optimize, and maintain Retrieval‑Augmented Generation (RAG) pipelines, vector databases, and enterprise knowledge bases.
• Author, monitor, and scale automated CI/CD deployment pipelines using GitHub Actions and AWS deployment tools.
• Troubleshoot, debug, and resolve model reasoning failures, latency bottlenecks, and API integration anomalies.
• Collaborate seamlessly with cross‑functional AI research squads, software architects, and business stakeholders.
• Maintain meticulous documentation of agent prompt architectures, evaluation benchmarks, API integrations, and deployment runbooks.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
• Minimum of 10+ years of progressive professional experience in software engineering, advanced analytics, and artificial intelligence.
• Strong, demonstrable hands‑on professional expertise in Python programming, Agentic AI frameworks, and the Claude Agent SDK.
• Deep practical proficiency in deploying and managing AI runtimes on AWS Bedrock AgentCore Runtime.
• Solid practical experience with LLM observability platforms such as Langfuse, tracing tools, and automated evaluation metrics.
• Comprehensive working knowledge of RAG architectures, vector databases (Pinecone, Milvus, Qdrant), and knowledge base optimization.
• Exceptional analytical, troubleshooting, debugging, and problem‑solving capabilities under complex AI engineering conditions.
• Excellent written and verbal English communication skills with strong technical leadership and collaboration abilities.
• Mandatory legal work eligibility (Any Visa) and physical availability for PST timezone operations and occasional travel to Los Angeles.

Nice-to-Have Skills

• Professional certifications such as AWS Certified Solutions Architect – Professional or AWS Certified Machine Learning – Specialty.
• Prior professional working experience in top‑tier artificial intelligence research labs, high‑growth startups, or enterprise tech firms.
• Hands‑on familiarity with containerization platforms (Docker, Kubernetes) and infrastructure as code (Terraform).
• Advanced understanding of reinforcement learning from human feedback (RLHF), fine‑tuning, and prompt engineering best practices.

Application Information

• Recruiter: Digirys Recruitment Division
• Contact Name: Mike S (Technical Recruitment Lead) / Mohd Amaan N.
• Email: `[e-mail]`
• Phone:
• Company Website:
• Salary/Rate: Open / Market Competitive Enterprise Contracting Package
• Deadline: Open until filled (Urgent USA PST Remote/Hybrid Opening)
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: 6 Months + Extensions (Contract Engagement – USA PST)

Recruitment Pro Tip

When applying for this AI Engineer – Agentic AI position, ensure your resume explicitly highlights your Claude Agent SDK, Python agentic workflows, and AWS Bedrock portfolio, details your Langfuse LLM observability experience, and confirms your PST timezone residency.