Shape the future with us.

About the Role

At AskGalore we build AI-powered automations that solve real, messy business problems for global clients. This role is a Forward Deployed Engineer (FDE) — you sit between our finance-domain business analysts and the working software, translating real-world process logic into production-grade automations powered by Claude and other LLMs.

This is not a model-training, data-science, or MLOps role. It's for a strong full-stack engineer who has learned to build dramatically faster with AI and wants that to be the core of the job, someone who uses AI to the hilt to design, build, test, and ship. If you started your career writing full-stack code and have grown into shipping AI-driven automations and agentic workflows, this role is built for you.

What You Will Do

• Work directly with finance-domain BAs to turn business logic and process rules into automated, end-to-end workflows.
• Design, build, and deploy complex automations orchestrated with Claude / LLMs — prompt engineering, tool use (function calling), and multi-step agentic workflows.
• Build the full stack around the AI: APIs, backend services, integrations, and lightweight dashboards.
• Use AI-powered QA agents to test, validate, and harden what you ship.
• Integrate automations with client systems — databases, ERPs, third-party APIs, and webhooks.
• Deploy at the point of use, iterate fast on real feedback, and own outcomes rather than tickets.
• Write clean, modular, well-documented code with proper version control.

You'll Thrive Here If You

• Began in full-stack development and grew into AI-powered building — you now ship 10x faster because AI is part of how you work, not a side experiment.
• Think like a product engineer: you research, prototype, build, and deploy independently.
• Are comfortable talking to non-technical domain experts and turning ambiguity into working software.
• Move fast, take ownership, and care about the result landing with the client.

What You Bring

This role does not require Computer Vision, NLP research, deep learning, or model training. We're looking for builders, not researchers.

What We Offer

• A rare chance to be an early, senior AI-automation hire with real influence over how we build.
• Genuinely interesting problems — you'll ship AI automations that go live with global clients, not demos.
• Autonomy and ownership from day one, working shoulder-to-shoulder with domain experts and founders.

Required Skill Set

Python (FastAPI), LLMs (LangGraph, LangChain, Pydantic), RAG and Vector Databases, AWS and Azure, Vibe coding, PostgreSQL and MongoDB, Docker and Kubernetes, Langfuse/LangSmith for observability.

Why This Role

• Real work, real impact: You'll contribute to systems used by actual clients, not throwaway assignments.
• Steep learning curve: Work directly with experienced engineers and consultants who will mentor you.
• AI-first exposure: Get hands-on with RAG pipelines and agentic workflows — skills that are in high demand.
• Career runway: Strong performers will be considered for full-time AI/ML Engineer roles.
• Startup pace, structured mentorship: Move fast, ask questions, and grow quickly in a supportive team.

Hiring Process

1. Assignment / Task
2. Technical Interview – Round 1
3. Technical Interview – Round 2

About the Role

We are building the next generation of financial automation, and we're looking for curious, driven graduates to join us as AI Developer Interns. This is a hands-on learning role where you'll work alongside senior engineers and consultants to build real LLM-powered systems — not shadow work or busywork. You'll get exposure to the full lifecycle of an AI product: from understanding a business problem, to building a working prototype, to seeing it used by real clients.

This internship is designed to fast-track your growth into a full-stack AI engineer. You'll be mentored, you'll make mistakes, and you'll ship real code.

What You Will Do

• Design, prototype, and iterate on AI/ML models for real business problems — from framing the problem and selecting an approach to evaluating results against baselines.
• Learn to build RAG (Retrieval-Augmented Generation) pipelines under guidance, using tools like LangChain/LangGraph and vector databases.
• Build and experiment with LLM-based systems: prompt engineering, embeddings, retrieval pipelines (RAG), and fine-tuning workflows, with growing ownership as you demonstrate capability.
• Implement and train ML/DL models using frameworks such as TensorFlow, PyTorch, or scikit-learn, and be able to justify architecture and hyperparameter choices.
• Build and expose model functionality through APIs (Python/FastAPI).

What You Bring

Required Skill Set

Python (FastAPI), LLMs (LangGraph, LangChain, Pydantic), RAG and Vector Databases, AWS and Azure, Vibe coding, PostgreSQL and MongoDB, Docker and Kubernetes, Langfuse/LangSmith for observability.

Why This Role

• Real work, real impact: You'll contribute to systems used by actual clients, not throwaway assignments.
• Steep learning curve: Work directly with experienced engineers and consultants who will mentor you.
• AI-first exposure: Get hands-on with RAG pipelines and agentic workflows — skills that are in high demand.
• Career runway: Strong performers will be considered for full-time AI/ML Engineer roles.
• Startup pace, structured mentorship: Move fast, ask questions, and grow quickly in a supportive team.

Hiring Process

1. Assignment / Task
2. Technical Interview – Round 1
3. Technical Interview – Round 2

About the Role

We're looking for a digital marketing intern who has already worked with SEO or paid ads and wants to apply those skills on live campaigns. You'll work closely with our marketing team on real budgets, real keywords and real results.

Duration: 6 months, with potential full-time offer based on performance.

What You'll Do

• Support on-page SEO: keyword research, meta tags, content optimisation and internal linking.
• Track keyword rankings, organic traffic and site health using tools like Google Search Console, GA4 and SEMrush/Ahrefs.
• Learn and apply basic AI SEO practices to improve content visibility in AI-powered search experiences.
• Develop a basic understanding of GEO (Generative Engine Optimisation), including content optimisation for AI-generated answers, conversational search queries and AI search platforms.
• Help set up, monitor and optimise Google Ads (Search, Display) and Meta Ads (Facebook/Instagram) campaigns.
• Write ad copy and test creatives, audiences and landing pages.
• Prepare weekly performance reports with clear insights and next steps.
• Research competitors and spot new growth opportunities.
• Assist with content calendars, blog briefs and social media promotion.

Who You Are

You have hands-on exposure to SEO or paid advertising, and you're keen to learn by testing and measuring.

What You'll Gain

• Hands-on experience with live campaigns and real ad spend.
• Mentorship from experienced marketers.
• Internship certificate and a letter of recommendation.
• A strong portfolio of campaign results.
• Pre-placement offer (PPO) opportunity for top performers.