Prompt & Context Engineer

Join a team of world‑class engineers and innovators building production‑ready autonomous AI agents that transform how enterprises work.

Why Join Agentifi?

We're not just building AI demos—we're shipping production systems that enterprises depend on.

Cutting‑Edge Work

Work on production AI agent systems that push the boundaries of what's possible.

World‑Class Team

Collaborate with talented engineers, researchers, and product leaders.

Impact & Ownership

Your work directly shapes products used by enterprise clients.

Remote‑Friendly

Flexible work arrangements for the right candidates.

Continuous learning, conference attendance, and career development.

Competitive Package

Market‑leading compensation and benefits.

Open Positions

Join us in building the next generation of autonomous AI agents.

Full Stack Developer

Key Responsibilities

• Design and implement scalable agentic web applications using Python, Fast API, and modern frameworks.
• Build and deploy autonomous AI agents with Lang Chain, Lang Graph, and custom orchestration layers.
• Architect cloud‑native solutions on AWS (Lambda, ECS, Step Functions, Event Bridge).
• Develop RAG pipelines with vector databases (Pinecone, Weaviate, pgvector).
• Implement observability and monitoring for AI agent systems (Lang Smith, Arize Phoenix).
• Optimize LLM costs, latency, and reliability in production environments.
• Write production‑grade code with comprehensive testing and CI/CD automation.

Requirements

• 5+ years of full‑stack development experience with Python.
• Experience with AI/ML frameworks (Lang Chain, Llama Index, or similar).
• Deep understanding of RESTful APIs, microservices, and event‑driven architectures.
• Proficiency in modern frontend frameworks (React, Next. js, or Vue. js).
• Experience with vector databases and semantic search.
• Strong knowledge of Docker, Kubernetes, and infrastructure as code (Terraform/CDK).
• Excellent problem‑solving skills and attention to production reliability.
• Nice to Have
• Experience building production AI agent systems.
• Knowledge of prompt engineering and LLM fine‑tuning.
• Contributions to open‑source AI projects.
• Experience with multi‑agent orchestration patterns.
• Background in distributed systems and high‑scale applications.
• Prompt & Context Engineer
• UK / Remote
• Full‑time

Shape how AI agents think, reason, and communicate.

You'll be at the forefront of prompt engineering, context optimization, and building the cognitive architecture that makes our autonomous agents reliable and effective.

Key Responsibilities

• Design, test, and optimize prompts for complex multi‑step agentic workflows.
• Develop context management strategies for long‑running agent conversations.
• Build evaluation frameworks to measure prompt quality, hallucination rates, and task success.
• Implement few‑shot learning, chain‑of‑thought, and Re Act prompting patterns.
• Create prompt templates and libraries for reusable agent behaviors.
• Collaborate with engineers to integrate prompts into production systems.
• Research and experiment with cutting‑edge prompting techniques and LLM capabilities.
• Analyze agent failures and iterate on prompt designs to improve reliability.

Requirements

• 2+ years of experience in prompt engineering or AI/ML roles.
• Deep understanding of LLM capabilities, limitations, and failure modes.
• Experience with Open AI, Anthropic, Google, or other major LLM APIs.
• Strong analytical skills and data‑driven approach to optimization.
• Proficiency in Python for scripting and automation.
• Experience with evaluation metrics and A/B testing methodologies.
• Excellent written communication and attention to linguistic detail.
• Understanding of RAG, vector search, and semantic retrieval concepts.
• Nice to Have
• Background in computational linguistics, NLP, or cognitive science.
• Experience with Lang Chain, Lang Graph, or similar agent frameworks.
• Knowledge of fine‑tuning and RLHF techniques.
• Familiarity with observability tools (Lang Smith, Weights & Biases).
• Published research or blog posts on prompt engineering.
• Business Development Manager
• UK / Remote
• Full‑time

Drive Agentifi's growth by identifying opportunities, building strategic partnerships, and helping enterprises unlock value through autonomous AI agents.

You'll be the bridge between cutting‑edge AI technology and real‑world business impact.

Key Responsibilities

• Identify and qualify enterprise opportunities for AI agent implementations.
• Build and manage a pipeline of strategic partnerships and client relationships.
• Conduct discovery calls to understand client pain points and technical requirements.
• Collaborate with technical teams to design compelling AI agent solutions.
• Lead contract negotiations and close high‑value deals.
• Develop go‑to‑market strategies for new AI agent products and services.
• Represent Agentifi at industry events, conferences, and networking opportunities.
• Track market trends, competitor activities, and emerging AI use cases.

Requirements

• 5+ years of B2B sales or business development experience, preferably in tech/Saa S.
• Proven track record of closing enterprise deals (£100K+ ACV).
• Strong understanding of AI/ML technologies and their business applications.
• Excellent communication, presentation, and negotiation skills.
• Experience selling to C‑level executives and technical decision‑makers.
• Self‑motivated with a hunter mentality and consultative sales approach.
• Ability to understand complex technical solutions and articulate value propositions.
• Strong network in UK enterprise, finance, or e‑commerce sectors.
• Nice to Have
• Technical background or experience in software engineering.
• Previous experience in AI/ML consulting or professional services.
• Existing relationships with enterprise clients in target industries.
• Experience with solution selling and value‑based pricing models.
• Knowledge of cloud platforms (AWS, Azure, GCP) and enterprise architecture.
• Eligibility Requirements

Candidates must have eligibility to work in the UK. Remote work may be considered for exceptional candidates with the right skills and experience.

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